Explore how we use machine learning to solve real-world problems. Machine Learning powers everyday tools like recommendations, fraud detection, and predictive analytics. In this category, you'll find posts that explain core concepts, explore use cases, and share practical insights.
Parallax was beginning to explore the use of artificial intelligence (AI) or machine learning (ML) to leverage the wealth of data on hand about...
Welcome to the third article in our Machine Learning with Ruby series!
In our previous article Machine Learning: An Introduction to CART Decision...
In our previous article Machine Learning: An Introduction to CART Decision Trees in Ruby , we covered CART decision trees and built a simple tree...
In our previous article, Machine Learning Aided Time Tracking Review: A Business Case we introduced the business case behind Pecas, an internal tool designed...
In the middle of last year, we released an internal tool to help address a pretty significant issue. That is how the Pecas tool was...
As an agency, our business model revolves around time. Our client activities rely on a dedicated number of hours per week worked on a project,...
